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What is Fireworks AI?

Fireworks AI provides a training and inference platform for open models. Run serverless inference with per-token pricing, fine-tune models on your data, and deploy checkpoints to production. The platform supports text, vision, embeddings, tool calling, batch API, and reinforcement fine-tuning.

How to use Fireworks AI?

1. Create an API key in the Fireworks dashboard (Settings → API keys) and export it as FIREWORKS_API_KEY. 2. Install the Fireworks or OpenAI SDK. 3. Call a serverless model (e.g., accounts/fireworks/models/deepseek-v3p1) via chat.completions.create to make your first inference request.

Fireworks AI Core Features

Serverless Inference

Get started in seconds with per-token pricing, zero setup, and no cold starts. Standard, Priority, and Fast serving paths are available for popular open models.

Training & Fine-Tuning

Customize open models with your data via supervised fine-tuning, preference optimization (DPO/ORPO), and reinforcement fine-tuning. Every checkpoint deploys to production in seconds.

On-Demand Deployments

Pay per GPU second for dedicated deployments with faster speeds, higher rate limits, and lower costs at scale. Supports custom models, LoRA addons, autoscaling, and quantization.

OpenAI-Compatible API

Query text, vision, embedding, and reasoning models through an OpenAI-compatible endpoint with streaming, function calling, structured outputs, and batch inference.

Fireworks AI Use Cases

Run open-source LLMs for chat, coding, and agent workflows

Fine-tune models on proprietary data for specialized intelligence

Deploy dedicated GPU inference with autoscaling and custom models

Fireworks AI Frequently Asked Questions

What is the difference between serverless and dedicated deployments?

Serverless deployments are shared infrastructure where you pay per token with no GPU setup. Dedicated (on-demand) deployments let you configure private GPU resources billed per GPU second, with performance guarantees and support for custom base models and LoRA addons.

How do I get started with serverless inference?

Create an API key in the Fireworks dashboard, export it as FIREWORKS_API_KEY, install the Fireworks or OpenAI SDK, and call a serverless model such as accounts/fireworks/models/deepseek-v3p1 via the chat completions API.

Can I fine-tune and deploy my own models?

Yes. Fireworks supports supervised fine-tuning, preference optimization, and reinforcement fine-tuning. You can upload custom base models or train LoRA addons, then deploy them to dedicated deployments. LoRA addons require dedicated deployments and cannot be served serverlessly.

Fireworks AI Product Background & Official Links

Fireworks AI Support Email & Customer service contact & Refund contact etc.

More Contact, visit the about us page(https://docs.fireworks.ai/)

Fireworks AI Company Info

Fireworks AI Company name: Fireworks AI, Inc.

Fireworks AI Developer Type: company

More about Fireworks AI, Please visit the about us page(https://docs.fireworks.ai/)

Fireworks AI GitHub

Fireworks AI GitHub Link: https://github.com/fw-ai

Fireworks AI Pricing & Plans

Starter Credits

Free

$1 in free credits to start
Serverless inference with per-token billing
Self-serve signup in seconds

Subscribe & upgrade now

Serverless Inference

flat

Pay per token

Per-token pricing with postpaid billing
High rate limits and no cold starts
Standard, Priority, and Fast serving paths
Fine-tuned models served at base model price

Subscribe & upgrade now

On-Demand Deployments

flat

Pay per GPU second

Dedicated GPU deployments
Higher rate limits and faster speeds
Custom models, LoRA addons, and autoscaling

Subscribe & upgrade now

Enterprise

contact

Contact sales

Faster speeds and lower costs at scale
Higher rate limits
Dedicated support and custom deployments

Subscribe & upgrade now

Fireworks AI Tags

Open Source API Available For Developers Cloud-based AI Agent Ready

Best Suited Occupations for Fireworks AI

Software Developers

Fireworks AI

Active

Tagline:Own your model. Own your future.

Updated:-

Social Media:

AI API Interface AI Developer Tools AI Workflow Research & Data Analysis Open Source API Available For Developers Cloud-based AI Agent Ready

Open Website

Visit Website

What is Fireworks AI?

How to use Fireworks AI?

Fireworks AI Core Features

Serverless Inference

Get started in seconds with per-token pricing, zero setup, and no cold starts. Standard, Priority, and Fast serving paths are available for popular open models.

Training & Fine-Tuning

Customize open models with your data via supervised fine-tuning, preference optimization (DPO/ORPO), and reinforcement fine-tuning. Every checkpoint deploys to production in seconds.

On-Demand Deployments

Pay per GPU second for dedicated deployments with faster speeds, higher rate limits, and lower costs at scale. Supports custom models, LoRA addons, autoscaling, and quantization.

OpenAI-Compatible API

Query text, vision, embedding, and reasoning models through an OpenAI-compatible endpoint with streaming, function calling, structured outputs, and batch inference.